DevOps Engineer

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector.

With over $200M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.

We are looking for a DevOps Engineer to join our DevOps R&D team.

In this position, you will be responsible for integrating developers and operations teams to improve collaboration and productivity by automating infrastructure, automating workflows, and continuously measuring application performance.

A day in the life and how you’ll make an impact:

Establish, maintain, and evolve concepts in continuous integration and deployment (CI/CD) pipelines for existing and new services.
Collaborate with Engineering and Operations teams to improve automation of workflows, infrastructure, code testing, and deployment of on-premise and cloud services.
Remain up-to-date on industry trends, share knowledge among teams, and abide by industry best practices for configuration management and automation.
Implement effective monitoring and increase the sophistication of our alerting and escalation mechanisms
Identify and resolve performance and scalability issues in products and infrastructure.

Requirements:

5+ years experience in systems and production engineering and 3+ years of DevOps experience in a Linux environment
Experience maintaining and deploying highly-available, fault-tolerant systems at scale
Experience development in Python and scripting using bash
Practical experience with Docker containerization and clustering (Kubernetes)
Experience with configuration management tools (e.g. Ansible, Terraform)
Experience implementing CI/CD (e.g. Jenkins,, GitHub actions, bitbucket pipelines)
Experience with cloud providers (eg: AWS, GCP)

Ideally, we’re looking for:

Bachelor's or master’s degree in CS
AWS Certification
Experience working in and advocating for agile environments
Knowledge of Linux Kernel fundamentals including job management, memory management, file systems, networking & debugging

Why UVeye:

Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections.

Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale.

Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.